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Fuzzy Rule Based Computer Design

John R. Newport



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CRC Press Inc
09 October 1995
This book provides the theory and some examples of rule based reasoning applied to computer design. The presentation begins with design methods. These include both structured, object oriented design applied to software and systems engineering using several examples. Rule based reasoning, fuzzy logic, and new methods of virtual prototyping of computer designs are also covered.

Virtual prototyping, in contrast to hardware prototyping, offers the promise of much lower design cost and more time to prepare prototypes. A discussion on this topic concludes with a sample implementation of these methods that can be used for computer system design.
By:   John R. Newport
Imprint:   CRC Press Inc
Country of Publication:   United States
Volume:   9
Dimensions:   Height: 235mm,  Width: 156mm,  Spine: 20mm
Weight:   544g
ISBN:   9780849378348
ISBN 10:   0849378346
Series:   Systems Engineering
Pages:   272
Publication Date:   09 October 1995
Audience:   College/higher education ,  Professional and scholarly ,  Further / Higher Education ,  Undergraduate
Format:   Hardback
Publisher's Status:   Active
Part I: Introduction to Design Methods Concepts, Status, and Goals Key Concepts and Definitions Status of System OOD Presentation Overview Process Management MIL-STD-499B CMM Concurrent Engineering TQM Process Impacts on Design Design Methods General Concepts Structured Analysis and Design Object Oriented Design Objects Classes Operations and Polymorphism Inheritance Abstraction Encapsulation Summary and Significance Graphical Methods Diagram Types and Rules State Transition and Timing Diagrams Class, Object, Data Flow Diagrams DFD and Process Diagrams Module Diagrams Vendor Tool Taxonomy and Examples Requirements Traceability Document and Code Generators Simulation Significance of the Methods in VP VP Metaphors Microcircuit Design Software Design Hardware Hotbench Flight Simulation and the Avionics Hotbench Summary Technology and Overview of VP Technology Elements Virtual Reality Synthetic Vision Natural Language Knowledge Based Systems Fuzzy Logic and Neural Networks Fuzzy and Conventional Methods VP Concepts Part II: System Design and Synthesis Requirements Operational Requirements System Decomposition and Top Level Requirements Lower Tier Requirements Sample Requirements Traceability Automated Requirements Formulation and Documentation Simulation and Technology Capability Model Types Higher Order Languages and Object Oriented Design Object Oriented C++ Object Oriented Ada Elements of VHDL Instruction Set Simulation Significance of the Simulation Tools Design Capture Expert System For Design User Inputs Analysis Configuration Outputs Fuzzy Rule Based Design New Design Case Study Architecture Reengineering Case Study Status of Automated Design Prototype Evaluation The VP Simulation Engine Scheduled Processes Example Statistical Processes The VP Engine Virtual Trade Studies Product Synthesis Status of Automated Prototyping Part III: Synergism of OOD and VP Design Trends and Issues Systems Engineering Standards Expert Systems Revisited The Significance of OOD Trends in Enabling Technologies Project Approaches and Solutions Index

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